To bridge this gap, Sood et al.(2018) [1]} made use of registered voters in Florida to infer race and ethnicity from names obtaining a F1-score of 0.83 using LSTMs. Ambedkar et al. [2]} presented a model that classifies names into 13 cultural/ethnic groups with data extracted from Wikipedia. Giles et al. [3]} proposed a name-ethnicity classifier that identified ethnicity from personal names in Wikipedia with 85% accuracy.
